Angelo Cafaro
The NoXi database: multimodal recordings of mediated novice-expert interactions
Cafaro, Angelo; Wagner, Johannes; Baur, Tobias; Dermouche, Soumia; Torres, Mercedes Torres; Pelachaud, Catherine; Andr�, Elisabeth; Valstar, Michel F.
Authors
Johannes Wagner
Tobias Baur
Soumia Dermouche
Mercedes Torres Torres
Catherine Pelachaud
Elisabeth Andr�
Michel F. Valstar
Abstract
We present a novel multi-lingual database of natural dyadic novice-expert interactions, named NoXi, featuring screen-mediated dyadic human interactions in the context of information exchange and retrieval. NoXi is designed to provide spontaneous interactions with emphasis on adaptive behaviors and unexpected situations (e.g. conversational interruptions). A rich set of audio-visual data, as well as continuous and discrete annotations are publicly available through a web interface. Descriptors include low level social signals (e.g. gestures, smiles), functional descriptors (e.g. turn-taking, dialogue acts) and interaction descriptors (e.g. engagement, interest, and fluidity).
Citation
Cafaro, A., Wagner, J., Baur, T., Dermouche, S., Torres, M. T., Pelachaud, C., …Valstar, M. F. (2017). The NoXi database: multimodal recordings of mediated novice-expert interactions.
Conference Name | 19th ACM International Conference on Multimodal Interaction |
---|---|
End Date | Nov 17, 2017 |
Acceptance Date | Aug 11, 2017 |
Publication Date | Nov 13, 2017 |
Deposit Date | Sep 13, 2017 |
Publicly Available Date | Mar 29, 2024 |
Peer Reviewed | Peer Reviewed |
Keywords | Affective computing, multimodal corpora, multimedia databases |
Public URL | https://nottingham-repository.worktribe.com/output/894689 |
Additional Information | Published in: Proceedings of 19th ACM International Conference on Multimodal Interaction, Glasgow, UK, November 13–17, 2017 (ICMI’17) ISBN: 9781450355438 ; DOI:10.1145/3136755.3136780 |
Files
ICMI2017_Cafaro_et_al_NoXi.pdf
(1.4 Mb)
PDF
You might also like
Identifying Variation in the Newborn Life Support Procedure: An Automated Method
(2023)
Conference Proceeding
A modelling approach to studying variations in newborn life support procedure
(2023)
Journal Article
Benchmarking framework for machine learning classification from fNIRS data
(2023)
Journal Article
Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety
(2021)
Conference Proceeding
Designing an Adaptive Embodied Conversational Agent for Health Literacy: a User Study
(2021)
Conference Proceeding
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: digital-library-support@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search